This topic examines wallets and agent suites that integrate large language models (LLMs) to automate transactions, manage keys and metadata, and enable autonomous commerce flows. As of 2026‑03‑02, momentum has shifted from experimental proofs‑of‑concept to production stacks that combine payments rails, retrieval‑augmented agents, memory/event chaining, and enterprise LLMs. Key categories include AI Agent Marketplaces (discover and monetize agents), Agent Frameworks (build, test, and run agentic workflows) and AI Tool Marketplaces (components and hosted models). Representative technologies: Fire Bee’s AI‑integrated wallet work highlights patterns for building smart wallets on Aptos that embed automation and signature workflows; Visa Intelligent Commerce (launched 2025) demonstrates standardized rails for agents to discover, select and buy goods while preserving payment and consent controls; LangChain offers engineering primitives and LangGraph for stateful agent execution; LlamaIndex focuses on converting unstructured content into document agents and scalable RAG; GPTConsole supplies SDKs, APIs, CLIs and lifecycle tooling for event chaining and memory; StackAI provides no‑code/low‑code enterprise tooling for deploying and governing agents; Cohere supplies private, customizable LLMs, embeddings and retrieval services used to keep agent behavior auditable and private. Practical considerations covered here include secure key management and signing, cross‑chain and off‑chain orchestration, data privacy and compliance, agent governance, and developer ergonomics from no‑code UIs to SDKs. The topic is timely because payments platforms, enterprise LLMs, and agent frameworks have converged — creating real use cases for autonomous commerce and wallet automation while increasing demand for secure, auditable integration patterns.